Since the 1960s researchers have been exploring ways to overcome these challenges. There are findings which suggest that in 1964, computational solver was introduced that could solve a nine-piece puzzle. While these were rudimentary efforts, researchers are now using state-of-the-art techniques based on natural images, colour matching, shape matching, and others to design algorithms and solve twisted puzzles in archaeology.This isn't specifically about ancient Judaism, but the technology is potentially widely applicable to ancient decorative art. As before, the current algorithm is primitive and fallible, but algorithms can learn from experience. Give it some time and it may someday be able to outdo human archaeological art historians.
In a recent development, researchers at Technion and University of Haifa, Israel have proposed a new algorithm that is able to fix these issues with computer vision.
Cross-file under the Singularity is Near.
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